Use R-code to complete the following

The Boston Housing data is a classical dataset that models the median house values medv of different areas of Boston. Because a lot of variables exhibit an asymmetry, we will use some transformations data(Boston, package "MASS") head (Boston) crim zn indus chas noxrm age ## 10.0063218 2.31 ## 20.02731 0 7.07 ## 30.02729 0 7.07 ## 40.03237 0 2.18 ## 50.06905 0 2.18 ## 60.02985 0 2.18 0 0.538 6.575 65.2 4.0900 1 296 0 0.469 6.421 78.9 4.9671 2 242 0 0.469 7.185 61.1 4.9671 2 242 0 0.458 6.998 45.8 6.06223 222 0 0.458 7.147 54.2 6.0622 3 222 0 0.458 6.430 58.7 6.0622 3 222 dis rad tax ptratio black lstat medv 15.3 396.90 4.98 24.0 17.8 396.90 9.14 21.6 17.8 392.83 4.03 34.7 18.7 394.63 2.94 33.4 18.7 396.90 5.33 36.2 18.7 394.12 5.21 28.7 useLogc(1,3,5,6,8,9,10,14) Boston[,useLog] = log(Boston[.useLog]) Boston [,2] Boston [,2] / 10 Boston [ , 7] = Boston [ , 7] ^2. 5 / 10^4 Boston [, 11]exp (0.4Boston [,11])/1000 BostonL,12] - Boston[,12] / 100 Boston [, 13]sqrt (Boston [,13]) The Boston Housing data is a classical dataset that models the median house values medv of different areas of Boston. Because a lot of variables exhibit an asymmetry, we will use some transformations data(Boston, package "MASS") head (Boston) crim zn indus chas noxrm age ## 10.0063218 2.31 ## 20.02731 0 7.07 ## 30.02729 0 7.07 ## 40.03237 0 2.18 ## 50.06905 0 2.18 ## 60.02985 0 2.18 0 0.538 6.575 65.2 4.0900 1 296 0 0.469 6.421 78.9 4.9671 2 242 0 0.469 7.185 61.1 4.9671 2 242 0 0.458 6.998 45.8 6.06223 222 0 0.458 7.147 54.2 6.0622 3 222 0 0.458 6.430 58.7 6.0622 3 222 dis rad tax ptratio black lstat medv 15.3 396.90 4.98 24.0 17.8 396.90 9.14 21.6 17.8 392.83 4.03 34.7 18.7 394.63 2.94 33.4 18.7 396.90 5.33 36.2 18.7 394.12 5.21 28.7 useLogc(1,3,5,6,8,9,10,14) Boston[,useLog] = log(Boston[.useLog]) Boston [,2] Boston [,2] / 10 Boston [ , 7] = Boston [ , 7] ^2. 5 / 10^4 Boston [, 11]exp (0.4Boston [,11])/1000 BostonL,12] - Boston[,12] / 100 Boston [, 13]sqrt (Boston [,13])